Agent skill · AI & Agents

cosmosis-parameter-estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill cosmosis-parameter-estimator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write-Edit-Glob-Grep
Path: library/specializations/domains/science/physics/skills/cosmosis-parameter-estimator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# CosmoSIS Parameter Estimator ## Purpose Provides expert guidance on CosmoSIS for cosmological parameter estimation, including modular likelihood construction and MCMC sampling. ## Capabilities - Modular likelihood construction - Multiple sampler support (emcee, multinest, polychord) - Prior specification - Chain analysis and diagnostics - Plotting and visualization - Pipeline construction ## Usage Guidelines 1. **Pipeline Setup**: Configure modular analysis pipeline 2. **Likelihoods**: Build likelihood functions from data 3. **Priors**: Specify parameter priors 4. **Sampling**: Run MCMC with appropriate sampler 5. **Analysis**: Analyze chains and compute posteriors ## Tools/Libraries - CosmoSIS - emcee - GetDist

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Tools/Libraries
More from babysitter
All skills →
generating-gcp-diagramsGenerates DrawIO XML diagrams for Google Cloud Platform architectures from text descriptions or…DevOps & Cloudgenerating-aws-diagramsGenerates DrawIO XML diagrams for Amazon Web Services architectures from text descriptions or…DevOps & Cloudcorrosion-materials-selectorMaterials selection skill for corrosion resistance based on process conditions and industry…AI & Agentsapi-diff-analyzerCompare API specifications to detect breaking changes. Compare OpenAPI spec versions, categorize…Databasesdistillation-designerDistillation column design skill for tray/packing selection, hydraulic analysis, and column…Design & Presentationcrystallizer-designerCrystallization process design skill for nucleation control, crystal size distribution, and…Design & Presentation
About this skill
What does the cosmosis-parameter-estimator skill do?

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill cosmosis-parameter-estimator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.